Title :
Robust optic flow estimation using least median of squares
Author :
Bab-Hadiashar, Alireza ; Suter, David
Author_Institution :
Intelligent Robotics Res. Centre, Monash Univ., Clayton, Vic., Australia
Abstract :
A new approach to optic flow calculation, based on a highly robust statistical technique, is presented. In this algorithm, the optic flow problem is first formulated as a standard least squares problem. Then, its associated closest point problem is introduced and the transformation which takes this problem to a standard regression problem is provided. The least median of squares technique is used to solve the resulting regression problem. Some experimental results for both synthetic and real image sequences are also presented
Keywords :
image sequences; least mean squares methods; motion estimation; statistical analysis; algorithm; closest point problem; experimental results; least median of squares; real image sequences; robust optic flow estimation; robust statistical technique; standard least squares problem; standard regression problem; synthetic image sequences; transformation; Brightness; Equations; Image motion analysis; Image sequences; Intelligent robots; Optical computing; Optical noise; Optical sensors; Robustness; Vectors;
Conference_Titel :
Image Processing, 1996. Proceedings., International Conference on
Conference_Location :
Lausanne
Print_ISBN :
0-7803-3259-8
DOI :
10.1109/ICIP.1996.559546
